ZDstandup

Anomaly-Transformer

About Code release for "Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy" (ICLR 2022 Spotlight), https://openreview.net/forum?id=LzQQ89U1qm_

anomaly_transformer_pytorch

PyTorch implementation of Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy

awesome-AI-for-time-series-papers

A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.

awesome-anomaly-detection

A curated list of awesome anomaly detection resources

awesome-graph-classification

A collection of important graph embedding, classification and representation learning papers with implementations.

bufr

Bottom-up feature restoration

CFDPython

A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/

Chinese_Medical_Natural_Language_Processing_Resources_and_Papers

各大顶会医疗领域NLP论文与资源。NLP papers and resources in the medical field.

ClinicalProjections_SepsisOnset

This project translates clinical constraints into high dimensional mathematical constraints and uses projections to correct erroneous data as well as engineer new "distance-to-normal" features that help improve sepsis predictions.

DCL

NeurIPS 2020, Debiased Contrastive Learning

DDA

Official repository of "Back to Source: Diffusion-Driven Test-Time Adaptation"

DenseCL

Dense Contrastive Learning (DenseCL) for self-supervised representation learning, CVPR 2021 Oral.

doing_the_PhD

ev_tta

Official PyTorch implementation of Ev-TTA: Test-Time Adaptation for Event-Based Object Recognition (CVPR 2022)

GDN

Implementation code for the paper "Graph Neural Network-Based Anomaly Detection in Multivariate Time Series"

GNNs-in-Network-Neuroscience

A review of papers proposing novel GNN methods with application to brain connectivity published in 2017-2020.

HGCAE

HGCAE Pytorch implementation. CVPR2021 accepted.

KRD

Code for ICML 2023 paper "Quantifying the Knowledge in GNNs for Reliable Distillation into MLPs"

MemDPC

[ECCV'20 Spotlight] Memory-augmented Dense Predictive Coding for Video Representation Learning. Tengda Han, Weidi Xie, Andrew Zisserman.

MultimodalMIMIC

OneShot_WeaklySeg

PyContrast

PyTorch implementation of Contrastive Learning methods; List of awesome-contrastive-learning papers

research-method

论文写作与资料分享

TCN

Sequence modeling benchmarks and temporal convolutional networks

Time-Series-Work-Conference

Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, etc.)

TTA-IQA

Code for Test Time Adaptation in the context of Blind Image Quality Assessment.

vessel_tree_generator

VesselGraph

video_repres_sts

Pytorch implementation of Self-supervised Video Representation Learning by Uncovering Motion and Appearance Statistics

WSL4MIS

Scribbles or Points-based weakly-supervised learning for medical image segmentation, a strong baseline, and tutorial for research and application.